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Ibidun Christiana Obagbuwa

2 papers indexed

crossrefWorld Electric Vehicle Journal2024-12-27Cited by 13

Using a YOLO Deep Learning Algorithm to Improve the Accuracy of 3D Object Detection by Autonomous Vehicles

Ramavhale Murendeni, Alfred Mwanza, Ibidun Christiana Obagbuwa

This study presents an adaptation of the YOLOv4 deep learning algorithm for 3D object detection, addressing a critical challenge in autonomous vehicle (AV) systems: accurate real-time perception of the surrounding environment in three dimensions. Traditional 2D detection methods,…

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crossrefAtmosphere2024-11-10Cited by 59

Systematic Review of Machine Learning and Deep Learning Techniques for Spatiotemporal Air Quality Prediction

Israel Edem Agbehadji, Ibidun Christiana Obagbuwa

Background: Although computational models are advancing air quality prediction, achieving the desired performance or accuracy of prediction remains a gap, which impacts the implementation of machine learning (ML) air quality prediction models. Several models have been employed an…

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